# Gabriel Kanev > Source: https://gkanev.com/posts/tensorflow-docker-and-gpus-my-windows-11-nightmare-solved/ > Machine-readable version - 2026-09-06 --- Skip to main contentESC[Image: Docker TensorFlow GPU setup] Two days. That’s how long it took before I stopped fighting Windows 11 and let Docker handle it instead. ## The Problem Native TensorFlow GPU installation on Windows 11 is a mess. The official documentation recommends WSL2, but this approach created cascading issues: - NVIDIA driver incompatibilities with WSL2 - Permission problems accessing GPU resources - Version mismatches between CUDA, cuDNN, and TensorFlow - Environment breakage following Windows updates I kept hitting errors like “Failed to get convolution algorithm” and missing CUDA library files - each attempted fix breaking something new. ## The Docker Solution Rather than continue battling system-level configuration, I built a custom Docker container specifically for TensorFlow GPU development on Windows. The project is available on GitHub as **TensorFlow-GPU-Docker-Setup**. Key features: - Pre-configured GPU passthrough setup - Comprehensive GPU testing scripts - PyCharm integration fixes - Detailed troubleshooting documentation - Automated CUDA path configuration ## Implementation The container builds from the TensorFlow GPU base image and includes NumPy, Pandas, and scikit-learn. Running it is straightforward: ```

docker build -t tensorflow-gpu-custom -f Dockerfile.gpu .
docker run --gpus all -it tensorflow-gpu-custom

``` ## Why This Works Data scientists should focus on their work, not system administration. By isolating dependencies within a container, the solution insulates your development environment from Windows updates and driver changes - the exact things that kept breaking everything. Docker doesn’t fix the underlying TensorFlow Windows issues. It just means they stop being your problem. Share[X / Twitter](https://twitter.com/intent/tweet?url=https%3A%2F%2Fgkanev.com%2Fposts%2Ftensorflow-docker-and-gpus-my-windows-11-nightmare-solved%2F&text=TensorFlow%2C%20Docker%20and%20GPUs%3A%20My%20Windows%2011%20Nightmare%20Solved)[LinkedIn](https://www.linkedin.com/shareArticle?mini=true&url=https%3A%2F%2Fgkanev.com%2Fposts%2Ftensorflow-docker-and-gpus-my-windows-11-nightmare-solved%2F&title=TensorFlow%2C%20Docker%20and%20GPUs%3A%20My%20Windows%2011%20Nightmare%20Solved) ## Navigation - [About](/about-me/) - [Uses](/uses/) - [Now](/now/) - [Resources & Guides](/resources-and-guides/) - [Speaking](/speaking/) - [Writing](/posts/) - [Work & Experience](/work/) - [Projects](/projects/) - [Books](/books/) - [Research Publications](/research-publications/) - [Contact me](/contact-me/) - [Home](/) - [Design Kit](/design-kit/) - [FAQ](/faq/) - [Sitemap](/sitemap/) - [Sustainability](/sustainability/) - [Product Strategy](/product-strategy/) - [Consulting](/consulting/) - [Performance Audits](/performance-audits/) - [Audits & Assessments](/audits/) - [Sponsoring](/sponsoring/) - [LinkedIn](https://linkedin.com/in/mrgkanev/) - [X (formerly Twitter)](https://twitter.com/mrgkanev/) - [GitHub](https://github.com/mrgkanev/) - [YouTube](https://youtube.com/@mrgkanev/) - [RSS](/rss.xml) - [Atom](/atom.xml) - [JSON Feed](/feed.json) - [Privacy Policy](/privacy-policy/) - [Terms & Conditions](/terms-and-conditions/) - [Accessibility](/accessibility-statement/) --- Generated by astro-inference | https://gkanev.com/llms.txt